Chi Yuan

2.8k total citations · 1 hit paper
40 papers, 1.6k citations indexed

About

Chi Yuan is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chi Yuan has authored 40 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chi Yuan's work include Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (6 papers) and Ethics in Clinical Research (6 papers). Chi Yuan is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (6 papers) and Ethics in Clinical Research (6 papers). Chi Yuan collaborates with scholars based in China, United States and United Kingdom. Chi Yuan's co-authors include Yongli Wang, Hamed Jelodar, Yanchao Li, Xia Feng, Liang Zhao, Chunhua Weng, Ziran Li, Casey Ta, Ning Shang and Tian Kang and has published in prestigious journals such as Cochrane Database of Systematic Reviews, IEEE Transactions on Image Processing and The American Journal of Human Genetics.

In The Last Decade

Chi Yuan

38 papers receiving 1.6k citations

Hit Papers

Latent Dirichlet allocation (LDA) and topic modeling: mod... 2018 2026 2020 2023 2018 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chi Yuan China 14 593 293 220 200 147 40 1.6k
Xieling Chen Hong Kong 28 791 1.3× 201 0.7× 452 2.1× 72 0.4× 165 1.1× 65 2.7k
Tianyong Hao China 22 743 1.3× 118 0.4× 246 1.1× 154 0.8× 49 0.3× 124 1.7k
Marco Spruit Netherlands 23 539 0.9× 316 1.1× 350 1.6× 78 0.4× 77 0.5× 161 1.9k
Yi Bu China 25 406 0.7× 217 0.7× 250 1.1× 191 1.0× 37 0.3× 117 1.8k
Ali Daud Pakistan 29 1.1k 1.9× 307 1.0× 763 3.5× 202 1.0× 53 0.4× 149 3.2k
Hamed Jelodar China 12 767 1.3× 398 1.4× 313 1.4× 34 0.2× 163 1.1× 27 1.7k
Zubair Shah Qatar 24 593 1.0× 519 1.8× 122 0.6× 197 1.0× 30 0.2× 108 2.9k
Xia Feng China 6 539 0.9× 297 1.0× 273 1.2× 29 0.1× 150 1.0× 20 1.3k
Yanchao Li China 13 588 1.0× 291 1.0× 237 1.1× 26 0.1× 146 1.0× 39 1.5k

Countries citing papers authored by Chi Yuan

Since Specialization
Citations

This map shows the geographic impact of Chi Yuan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chi Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Yuan more than expected).

Fields of papers citing papers by Chi Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Yuan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chi Yuan. The network helps show where Chi Yuan may publish in the future.

Co-authorship network of co-authors of Chi Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Yuan. A scholar is included among the top collaborators of Chi Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chi Yuan. Chi Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Zhao, Jing, Min Zhuo, ­Jun Li­, et al.. (2024). EP.12D.03 Characterization of HER2Alterations in 23,321 NSCLC Cases and Real-World Therapeutic Pattern in Chinese HER2-Mutant NSCLC the CHAPTER Study. Journal of Thoracic Oncology. 19(10). S650–S651. 2 indexed citations
3.
Idnay, Betina, Casey Ta, Cong Liu, et al.. (2023). Uncovering key clinical trial features influencing recruitment. Journal of Clinical and Translational Science. 7(1). e199–e199. 7 indexed citations
4.
Liu, Hao, et al.. (2021). A knowledge base of clinical trial eligibility criteria. Journal of Biomedical Informatics. 117. 103771–103771. 25 indexed citations
5.
Sun, Yingcheng, Latoya A. Stewart, Hao Liu, et al.. (2021). Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials. Journal of Biomedical Informatics. 118. 103790–103790. 8 indexed citations
6.
Yuan, Chi, et al.. (2021). Eye acupuncture for pain conditions: a scoping review of clinical studies. BMC Complementary Medicine and Therapies. 21(1). 101–101. 7 indexed citations
7.
Jian, Zhongyu, Chi Yuan, Hong Li, Wei Zhang, & Kunjie Wang. (2021). Reply to the comment on “Vibegron 50 mg is the optimal algorithm in the pharmacologic management of overactive bladder: outcomes from a systematic review and meat-analysis”. International Urology and Nephrology. 53(10). 2065–2065. 1 indexed citations
8.
Yuan, Chi, Ning Shang, Tian Zheng, et al.. (2021). Similarity-based health risk prediction using Domain Fusion and electronic health records data. Journal of Biomedical Informatics. 116. 103711–103711. 6 indexed citations
9.
Yuan, Chi, et al.. (2021). From clinical trials to clinical practice: How long are drugs tested and then used by patients?. Journal of the American Medical Informatics Association. 28(11). 2456–2460. 5 indexed citations
10.
Armitage, Laura C., Chi Yuan, Mauro Santos, et al.. (2020). Monitoring activity of hip injury patients (MoHIP): a sub-study of the World Hip Trauma Evaluation observational cohort study. Pilot and Feasibility Studies. 6(1). 70–70. 8 indexed citations
12.
13.
Liang, Shi-Bing, Huijuan Cao, Xue Bai, et al.. (2020). Pediatric tuina for the treatment of anorexia in children under 14 years: a systematic review and meta-analysis of randomized controlled trials. Complementary Therapies in Medicine. 51. 102411–102411. 14 indexed citations
14.
Kury, Fabrício S. P., Chi Yuan, Yingcheng Sun, et al.. (2020). Chia, a large annotated corpus of clinical trial eligibility criteria. Scientific Data. 7(1). 281–281. 26 indexed citations
15.
Jian, Zhongyu, Chi Yuan, Hong Li, Wei Zhang, & Kunjie Wang. (2020). Vibegron 50 mg is the optimal algorithm in the pharmacologic management of overactive bladder: outcomes from a systematic review and meta-analysis. International Urology and Nephrology. 52(12). 2215–2221. 5 indexed citations
16.
Zhao, Ruxin, Yongli Wang, Peng Hu, et al.. (2020). Modified Selfish Herd Optimizer for Function Optimization. International Journal of Computational Intelligence and Applications. 19(1). 1 indexed citations
17.
Zhao, Ruxin, Yongli Wang, Peng Hu, et al.. (2019). Selfish herds optimization algorithm with orthogonal design and information update for training multi-layer perceptron neural network. Applied Intelligence. 49(6). 2339–2381. 17 indexed citations
18.
Zhao, Ruxin, Yongli Wang, Chang Liu, et al.. (2019). Selfish herd optimization algorithm based on chaotic strategy for adaptive IIR system identification problem. Soft Computing. 24(10). 7637–7684. 18 indexed citations
19.
Xie, Gangcai, Chi Yuan, Ziran Li, et al.. (2018). Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes. The American Journal of Human Genetics. 103(1). 58–73. 79 indexed citations
20.
Yuan, Chi, et al.. (1998). Effects of alendronate on bone turnover markers in early postmenopausal women.. PubMed. 61(10). 568–76. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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